A review of eight technology industry trend reports that offer a similar conclusion: AI is no longer a feature. It’s becoming infrastructure — and the unit of value is moving from “a better tool” to “a better system.”
Today’s guest blogger calls for “rehumanizing” our view on AI innovations and their impacts on our mental health and our communities.
Today’s guest bloggers spotlight a gap in traditional usage reporting, third-party AI usage, and recommend steps needed to recover missing usage data.
How are two competing neuroscience journals faring since the editorial board of one departed to create the other?
Today’s guest blogger calls for adding “understandable” to the FAIR data principles, to ensure we do not surrender human knowledge in our rush for automation.
Most people in academic careers will at some point be faced with parenting and/or caregiving responsibilities. But is academia designed to support caregivers and parents?
Today’s guest bloggers assert that the future of the scholarly publishing depends on mastering science communication with the same rigor that global consumer brands apply to marketing.
In this interview with Alice Meadows, Sami Benchekroun (Morressier/Molecular Connections) and Rod Cookson (The Royal Society) share their thoughts about how and why scholarly publishing needs to move away from being article-based.
AI-driven zero-click search is widening the gap between visibility and usage, threatening publisher revenue, research integrity, and trust. How should we respond?
Current AI disclosure guidelines are failing and driving AI use underground rather than making it transparent. In this follow-up post, I turn to the more challenging question: what publishers should do about it.
Robert Harington attempts to shine a light on some of the political problems scholarly societies and academic institutions face in the current political climate.
Today’s post calls for community feedback on STM’s latest recommendations for alt-text metadata to support images in accessible scholarly publishing.
Today’s post paves a clear path forward in making AI work for publishers in the brave new agentic world.
Is open scholarship an honest signal of researcher integrity? We present preliminary evidence that data and code sharing, preprinting, and other open behaviors are indeed less common in papermill articles.
Only a negligible percentage of authors seem to actually be disclosing their AI use. Here’s why I think that’s the case.